Full Stack Developer for Marketing Research Platform

# Full Stack Developer – Marketing Research Platform

## About the Project

We are building a modern **Marketing Research and Market Intelligence Platform** designed to help businesses collect, analyze, and visualize market data. The platform enables research teams and marketing professionals to conduct surveys, gather customer insights, analyze competitor information, identify market trends, and generate actionable reports.

We are looking for a **Full Stack Developer** who can contribute across the entire application stack, from designing responsive user interfaces to developing scalable backend services, APIs, databases, and data-processing workflows.

## Responsibilities

* Design, develop, and maintain full-stack features for a marketing research platform.
* Build responsive and user-friendly web applications for researchers, analysts, and business users.
* Develop scalable backend services, RESTful APIs, and integrations with third-party systems.
* Implement functionality for:

* Market and customer surveys
* Questionnaire creation and management
* Respondent management
* Market segmentation
* Competitor research
* Customer feedback collection
* Data aggregation and analysis
* Marketing dashboards and reporting
* Design and optimize database schemas for research, survey, customer, and analytical data.
* Integrate external data sources and third-party APIs.
* Develop interactive dashboards and visualizations that help users understand research results.
* Implement authentication, authorization, role-based access control, and secure data handling.
* Optimize application performance, scalability, and reliability.
* Write unit, integration, and end-to-end tests.
* Participate in architecture discussions, code reviews, technical planning, and deployment activities.
* Troubleshoot production issues and continuously improve system reliability.
* Collaborate with product managers, UX/UI designers, marketing researchers, data analysts, and other engineers.

## Technical Requirements

* Strong professional experience in **full-stack web development**.
* Strong knowledge of modern frontend technologies such as **React, TypeScript, JavaScript, HTML5, and CSS**.
* Strong backend development experience with technologies such as **Node.js, Python, Java, .NET/C#**, or equivalent.
* Experience designing and developing **RESTful APIs** and backend services.
* Strong knowledge of **SQL and relational databases** such as PostgreSQL, MySQL, or SQL Server.
* Experience with NoSQL databases is a plus.
* Experience with cloud platforms such as **AWS, Azure, or Google Cloud**.
* Experience with Git and modern CI/CD practices.
* Understanding of containerization technologies such as **Docker**.
* Experience with automated testing and software quality practices.
* Understanding of authentication mechanisms such as OAuth2, JWT, and role-based access control.
* Strong understanding of software architecture, design patterns, scalability, and application security.

## Marketing Research / Data Experience

Experience working with **marketing, customer analytics, research, or data-driven applications** is highly desirable.

The ideal candidate understands concepts such as:

* Market research
* Customer segmentation
* Surveys and questionnaires
* Consumer behavior
* Competitor analysis
* Market trends
* Data collection
* Research datasets
* Statistical/analytical reporting
* KPI and marketing dashboards
* Data visualization

Experience integrating AI or machine-learning capabilities for **survey analysis, sentiment analysis, customer insights, text classification, or automated research reporting** is a strong plus.

## Nice to Have

* Experience with data visualization libraries such as Chart.js, D3.js, or similar.
* Experience with analytics platforms and business intelligence tools.
* Experience with Elasticsearch or other search technologies.
* Experience with event-driven architectures and message queues.
* Experience building SaaS or multi-tenant platforms.
* Experience with AI/LLM APIs and AI-powered research workflows.
* Experience with data pipelines or ETL processes.
* Experience with cloud-native architecture and Kubernetes.

## Soft Skills

* Strong problem-solving and analytical thinking.
* Ability to translate business and research requirements into technical solutions.
* Strong communication and collaboration skills.
* Ability to work independently while collaborating effectively with cross-functional teams.
* Attention to code quality, security, performance, and maintainability.
* Comfortable working in an agile development environment.

## What You Will Build

You will help develop a platform where marketing teams can:

**Create Research → Collect Market Data → Analyze Results → Visualize Insights → Generate Reports → Make Better Business Decisions**

The role offers an opportunity to work on a **data-intensive, customer-focused product** that combines modern full-stack engineering with marketing research, analytics, and potentially AI-powered insights.